{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Using TensorFlow backend.\n",
      "/anaconda3/lib/python3.6/importlib/_bootstrap.py:219: RuntimeWarning: compiletime version 3.5 of module 'tensorflow.python.framework.fast_tensor_util' does not match runtime version 3.6\n",
      "  return f(*args, **kwds)\n"
     ]
    }
   ],
   "source": [
    "from keras import utils\n",
    "from keras.layers import *\n",
    "from keras.models import *\n",
    "from keras.optimizers import *\n",
    "from keras.callbacks import *\n",
    "\n",
    "# dataset\n",
    "# https://www.kaggle.com/c/facial-keypoints-detection\n",
    "\n",
    "#定义网络结构\n",
    "def CNN_model(size):\n",
    "    input_data = Input(size)\n",
    "    \n",
    "    x = Conv2D(32, (3, 3), activation='relu')(input_data)\n",
    "    x = MaxPooling2D(pool_size=(2, 2))(x)\n",
    "    \n",
    "    x = Conv2D(64, (2, 2), activation='relu')(x)\n",
    "    x = MaxPooling2D(pool_size=(2, 2))(x)\n",
    "    \n",
    "    x = Conv2D(128, (2, 2), activation='relu')(x)\n",
    "    x = MaxPooling2D(pool_size=(2, 2))(x)\n",
    "    \n",
    "    x = Flatten()(x)\n",
    "    x = Dense(1024,activation='relu')(x)\n",
    "    x = Dropout(0.5)(x)\n",
    "    x = Dense(1024,activation='relu')(x)\n",
    "    output = Dense(30)(x)\n",
    "    return Model(inputs=input_data, outputs=output, name='Discriminator')\n",
    "\n",
    "model=CNN_model((96, 96, 1))\n",
    "optimizer = SGD(lr=0.03, momentum=0.9, nesterov=True)\n",
    "model.compile(loss='mse', optimizer=optimizer)\n",
    "epoch_num = 1000\n",
    "learning_rate = np.linspace(0.03, 0.01, epoch_num)\n",
    "change_lr = LearningRateScheduler(lambda epoch: float(learning_rate[epoch]))\n",
    "early_stop = EarlyStopping(monitor='val_loss', patience=20, verbose=1, mode='auto')\n",
    "check_point= ModelCheckpoint('CNN_model_final.h5', monitor='val_loss',verbose=0,save_best_only=True,save_weights_only=False, mode='auto', period=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(2140, 30)\n",
      "['dataset/train/0.jpg', 'dataset/train/1.jpg', 'dataset/train/2.jpg', 'dataset/train/3.jpg', 'dataset/train/4.jpg']\n",
      "[[ 66.03356391  39.00227368  30.22700752  36.4216782   59.58207519\n",
      "   39.64742256  73.13034586  39.96999699  36.35657143  37.3894015\n",
      "   23.45287218  37.3894015   56.95326316  29.03364812  80.22712782\n",
      "   32.22813835  40.22760902  29.0023218   16.35637895  29.64747068\n",
      "   44.42057143  57.06680301  61.19530827  79.97016541  28.61449624\n",
      "   77.38899248  43.3126015   72.93545865  43.13070677  84.48577444]\n",
      " [ 64.33293617  34.9700766   29.9492766   33.44871489  58.85617021\n",
      "   35.27434894  70.7227234   36.18716596  36.0347234   34.36153191\n",
      "   24.47251064  33.14444255  53.98740426  28.27594894  78.63421277\n",
      "   30.4059234   42.72885106  26.14604255  16.8653617   27.05885957\n",
      "   48.20629787  55.66093617  56.42144681  76.352       35.12238298\n",
      "   76.04765957  46.68459574  70.26655319  45.46791489  85.48017021]\n",
      " [ 65.05705263  34.90964211  30.90378947  34.90964211  59.412       36.32096842\n",
      "   70.98442105  36.32096842  37.67810526  36.32096842  24.97642105\n",
      "   36.60322105  55.74252632  27.57094737  78.88736842  32.65162105\n",
      "   42.19389474  28.13545263  16.79115789  32.08711579  47.55726316\n",
      "   53.53894737  60.82294737  73.01431579  33.72631579  72.732       47.27494737\n",
      "   70.19178947  47.27494737  78.65936842]]\n",
      "after shuffle:\n",
      "['dataset/train/2105.jpg' 'dataset/train/556.jpg' 'dataset/train/145.jpg'\n",
      " 'dataset/train/717.jpg' 'dataset/train/492.jpg']\n",
      "[[ 69.83993381  33.25780474  26.07137341  34.11196911  61.59282956\n",
      "   36.79227799  78.11354661  34.94669388  34.28902372  37.35190292\n",
      "   17.61809156  35.67302813  59.59739095  24.49815186  84.28310524\n",
      "   25.74713145  37.41673804  27.64141735  11.66277886  28.40256021\n",
      "   48.7042288   63.76738379  66.59934733  79.61125223  31.62802908\n",
      "   80.02603436  48.5822486   81.99624947  48.50447695  84.30347506]\n",
      " [ 65.7826242   36.05442038  29.98440764  36.32774522  58.40407643\n",
      "   37.3336051   72.88784713  37.14771975  36.77289172  37.14527389\n",
      "   22.87979618  37.42104459  58.67801274  25.94384713  78.8997707\n",
      "   29.22313376  37.36295541  26.21717197  15.77457325  30.5891465\n",
      "   50.47949045  53.27082803  64.14328662  72.94593631  33.26369427\n",
      "   73.76591083  49.66012739  65.56738854  49.38680255  80.87052229]\n",
      " [ 71.2923871   32.47409032  28.0436129   30.74415484  62.71509677\n",
      "   32.39589677  77.52077419  33.16614194  36.3476129   31.43612903\n",
      "   21.46993548  32.12810323  61.60490323  21.05636129  85.13264516\n",
      "   26.59223226  36.3476129   18.2883871   12.81987097  22.78629677\n",
      "   49.58554839  51.40459355  66.10296774  73.64732903  31.15741935\n",
      "   73.64732903  48.80283871  70.18738065  48.11148387  81.95148387]]\n",
      "train_labels: (1712, 30)\n",
      "val_labels: (428, 30)\n"
     ]
    }
   ],
   "source": [
    "#读取数据\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "label_path='train_kp.csv'\n",
    "kp_df=pd.read_csv(label_path)\n",
    "kp_df.head(10)\n",
    "\n",
    "#去掉NAN的行\n",
    "kp_df.dropna(axis=0, how='any', inplace=True)\n",
    "print(kp_df.shape)\n",
    "kp_df.head()\n",
    "\n",
    "train_path='dataset/train/'\n",
    "data_list=list(map(lambda x:train_path+str(x)+'.jpg',kp_df.index))\n",
    "print(data_list[0:5])\n",
    "labels=kp_df.values\n",
    "print(labels[0:3,:])\n",
    "\n",
    "#shuffle\n",
    "index=np.arange(len(data_list))\n",
    "np.random.seed(2018)\n",
    "np.random.shuffle(index)\n",
    "data_list=np.array(data_list)\n",
    "data_list=data_list[index]\n",
    "labels=labels[index,:]\n",
    "print('after shuffle:')\n",
    "print(data_list[0:5])\n",
    "print(labels[0:3,:])\n",
    "\n",
    "#split train/val\n",
    "train_list=data_list[0:int(len(data_list)*0.8)]\n",
    "train_labels=labels[0:int(len(data_list)*0.8),:]\n",
    "val_list=data_list[int(len(data_list)*0.8):]\n",
    "val_labels=labels[int(len(data_list)*0.8):,:]\n",
    "print('train_labels:',train_labels.shape)\n",
    "print('val_labels:',val_labels.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from skimage import io\n",
    "#生成器generator\n",
    "def generate_for_kp(file_list, label_list, batch_size):\n",
    "    while True:\n",
    "        count = 0\n",
    "        x, y = [], []\n",
    "        for i,path in enumerate(file_list):\n",
    "            img=io.imread(path)\n",
    "            img = np.array(img)\n",
    "            x_temp=img/255.0\n",
    "            y_temp=(label_list[i,:]-48.0)/48.0\n",
    "            count += 1\n",
    "            x.append(x_temp)\n",
    "            y.append(y_temp)\n",
    "            if count % batch_size == 0 and count != 0:\n",
    "                x = np.array(x)\n",
    "                x = x.reshape(batch_size, 96, 96, 1).astype(\"float32\")\n",
    "                y = np.array(y)\n",
    "                yield x, y\n",
    "                x, y = [], []\n",
    "                \n",
    "def generate_for_kp_test(file_list, batch_size):\n",
    "    while True:\n",
    "        count = 0\n",
    "        x= []\n",
    "        for path in file_list:\n",
    "            img=io.imread(path)\n",
    "            img = np.array(img)\n",
    "            x_temp=img/255.0\n",
    "            count += 1\n",
    "            x.append(x_temp)\n",
    "            if count % batch_size == 0 and count != 0:\n",
    "                x = np.array(x)\n",
    "                x = x.reshape(batch_size, 96, 96, 1).astype(\"float32\")\n",
    "                yield x\n",
    "                x = []"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/100\n",
      "27/27 [==============================] - 2s 57ms/step - loss: 0.0027 - val_loss: 0.0026\n",
      "Epoch 2/100\n",
      "27/27 [==============================] - 1s 30ms/step - loss: 0.0027 - val_loss: 0.0027\n",
      "Epoch 3/100\n",
      "27/27 [==============================] - 1s 47ms/step - loss: 0.0026 - val_loss: 0.0025\n",
      "Epoch 4/100\n",
      "27/27 [==============================] - 1s 32ms/step - loss: 0.0026 - val_loss: 0.0026\n",
      "Epoch 5/100\n",
      "27/27 [==============================] - 1s 30ms/step - loss: 0.0026 - val_loss: 0.0026\n",
      "Epoch 6/100\n",
      "27/27 [==============================] - 1s 48ms/step - loss: 0.0026 - val_loss: 0.0025\n",
      "Epoch 7/100\n",
      "27/27 [==============================] - 1s 31ms/step - loss: 0.0026 - val_loss: 0.0025\n",
      "Epoch 8/100\n",
      "27/27 [==============================] - 1s 32ms/step - loss: 0.0025 - val_loss: 0.0026\n",
      "Epoch 9/100\n",
      "27/27 [==============================] - 1s 48ms/step - loss: 0.0025 - val_loss: 0.0024\n",
      "Epoch 10/100\n",
      "27/27 [==============================] - 1s 33ms/step - loss: 0.0025 - val_loss: 0.0025\n",
      "Epoch 11/100\n",
      "27/27 [==============================] - 1s 32ms/step - loss: 0.0025 - val_loss: 0.0025\n",
      "Epoch 12/100\n",
      "27/27 [==============================] - 1s 48ms/step - loss: 0.0025 - val_loss: 0.0024\n",
      "Epoch 13/100\n",
      "27/27 [==============================] - 1s 32ms/step - loss: 0.0025 - val_loss: 0.0024\n",
      "Epoch 14/100\n",
      "27/27 [==============================] - 1s 32ms/step - loss: 0.0025 - val_loss: 0.0025\n",
      "Epoch 15/100\n",
      "27/27 [==============================] - 1s 49ms/step - loss: 0.0025 - val_loss: 0.0023\n",
      "Epoch 16/100\n",
      "27/27 [==============================] - 1s 32ms/step - loss: 0.0024 - val_loss: 0.0024\n",
      "Epoch 17/100\n",
      "27/27 [==============================] - 1s 32ms/step - loss: 0.0024 - val_loss: 0.0024\n",
      "Epoch 18/100\n",
      "27/27 [==============================] - 1s 53ms/step - loss: 0.0024 - val_loss: 0.0023\n",
      "Epoch 19/100\n",
      "27/27 [==============================] - 1s 34ms/step - loss: 0.0024 - val_loss: 0.0023\n",
      "Epoch 20/100\n",
      "27/27 [==============================] - 1s 32ms/step - loss: 0.0024 - val_loss: 0.0024\n",
      "Epoch 21/100\n",
      "27/27 [==============================] - 1s 50ms/step - loss: 0.0023 - val_loss: 0.0022\n",
      "Epoch 22/100\n",
      "27/27 [==============================] - 1s 32ms/step - loss: 0.0024 - val_loss: 0.0023\n",
      "Epoch 23/100\n",
      "27/27 [==============================] - 1s 31ms/step - loss: 0.0023 - val_loss: 0.0023\n",
      "Epoch 24/100\n",
      "27/27 [==============================] - 1s 48ms/step - loss: 0.0023 - val_loss: 0.0022\n",
      "Epoch 25/100\n",
      "27/27 [==============================] - 1s 32ms/step - loss: 0.0023 - val_loss: 0.0022\n",
      "Epoch 26/100\n",
      "27/27 [==============================] - 1s 31ms/step - loss: 0.0023 - val_loss: 0.0023\n",
      "Epoch 27/100\n",
      "27/27 [==============================] - 1s 48ms/step - loss: 0.0023 - val_loss: 0.0021\n",
      "Epoch 28/100\n",
      "27/27 [==============================] - 1s 31ms/step - loss: 0.0023 - val_loss: 0.0022\n",
      "Epoch 29/100\n",
      "27/27 [==============================] - 1s 30ms/step - loss: 0.0023 - val_loss: 0.0023\n",
      "Epoch 30/100\n",
      "27/27 [==============================] - 1s 48ms/step - loss: 0.0022 - val_loss: 0.0021\n",
      "Epoch 31/100\n",
      "27/27 [==============================] - 1s 32ms/step - loss: 0.0022 - val_loss: 0.0022\n",
      "Epoch 32/100\n",
      "27/27 [==============================] - 1s 30ms/step - loss: 0.0022 - val_loss: 0.0022\n",
      "Epoch 33/100\n",
      "27/27 [==============================] - 1s 48ms/step - loss: 0.0022 - val_loss: 0.0021\n",
      "Epoch 34/100\n",
      "27/27 [==============================] - 1s 33ms/step - loss: 0.0022 - val_loss: 0.0021\n",
      "Epoch 35/100\n",
      "27/27 [==============================] - 1s 31ms/step - loss: 0.0022 - val_loss: 0.0022\n",
      "Epoch 36/100\n",
      "27/27 [==============================] - 1s 49ms/step - loss: 0.0022 - val_loss: 0.0020\n",
      "Epoch 37/100\n",
      "27/27 [==============================] - 1s 32ms/step - loss: 0.0021 - val_loss: 0.0021\n",
      "Epoch 38/100\n",
      "27/27 [==============================] - 1s 32ms/step - loss: 0.0021 - val_loss: 0.0022\n",
      "Epoch 39/100\n",
      "27/27 [==============================] - 1s 52ms/step - loss: 0.0021 - val_loss: 0.0020\n",
      "Epoch 40/100\n",
      "27/27 [==============================] - 1s 32ms/step - loss: 0.0021 - val_loss: 0.0021\n",
      "Epoch 41/100\n",
      "27/27 [==============================] - 1s 30ms/step - loss: 0.0021 - val_loss: 0.0022\n",
      "Epoch 42/100\n",
      "27/27 [==============================] - 1s 47ms/step - loss: 0.0021 - val_loss: 0.0020\n",
      "Epoch 43/100\n",
      "27/27 [==============================] - 1s 32ms/step - loss: 0.0021 - val_loss: 0.0020\n",
      "Epoch 44/100\n",
      "27/27 [==============================] - 1s 30ms/step - loss: 0.0021 - val_loss: 0.0021\n",
      "Epoch 45/100\n",
      "27/27 [==============================] - 1s 50ms/step - loss: 0.0021 - val_loss: 0.0020\n",
      "Epoch 46/100\n",
      "27/27 [==============================] - 1s 32ms/step - loss: 0.0021 - val_loss: 0.0020\n",
      "Epoch 47/100\n",
      "27/27 [==============================] - 1s 31ms/step - loss: 0.0021 - val_loss: 0.0021\n",
      "Epoch 48/100\n",
      "27/27 [==============================] - 1s 49ms/step - loss: 0.0021 - val_loss: 0.0019\n",
      "Epoch 49/100\n",
      "27/27 [==============================] - 1s 34ms/step - loss: 0.0020 - val_loss: 0.0020\n",
      "Epoch 50/100\n",
      "27/27 [==============================] - 1s 33ms/step - loss: 0.0020 - val_loss: 0.0021\n",
      "Epoch 51/100\n",
      "27/27 [==============================] - 1s 48ms/step - loss: 0.0020 - val_loss: 0.0019\n",
      "Epoch 52/100\n",
      "27/27 [==============================] - 1s 32ms/step - loss: 0.0020 - val_loss: 0.0020\n",
      "Epoch 53/100\n",
      "27/27 [==============================] - 1s 32ms/step - loss: 0.0020 - val_loss: 0.0021\n",
      "Epoch 54/100\n",
      "27/27 [==============================] - 1s 49ms/step - loss: 0.0020 - val_loss: 0.0019\n",
      "Epoch 55/100\n",
      "27/27 [==============================] - 1s 33ms/step - loss: 0.0020 - val_loss: 0.0020\n",
      "Epoch 56/100\n",
      "27/27 [==============================] - 1s 31ms/step - loss: 0.0020 - val_loss: 0.0020\n",
      "Epoch 57/100\n",
      "27/27 [==============================] - 1s 48ms/step - loss: 0.0020 - val_loss: 0.0019\n",
      "Epoch 58/100\n",
      "27/27 [==============================] - 1s 32ms/step - loss: 0.0020 - val_loss: 0.0019\n",
      "Epoch 59/100\n",
      "27/27 [==============================] - 1s 31ms/step - loss: 0.0020 - val_loss: 0.0020\n",
      "Epoch 60/100\n",
      "27/27 [==============================] - 1s 47ms/step - loss: 0.0019 - val_loss: 0.0019\n",
      "Epoch 61/100\n",
      "27/27 [==============================] - 1s 31ms/step - loss: 0.0019 - val_loss: 0.0019\n",
      "Epoch 62/100\n",
      "27/27 [==============================] - 1s 31ms/step - loss: 0.0019 - val_loss: 0.0020\n",
      "Epoch 63/100\n",
      "27/27 [==============================] - 1s 50ms/step - loss: 0.0019 - val_loss: 0.0018\n",
      "Epoch 64/100\n",
      "27/27 [==============================] - 1s 31ms/step - loss: 0.0019 - val_loss: 0.0019\n",
      "Epoch 65/100\n",
      "27/27 [==============================] - 1s 30ms/step - loss: 0.0019 - val_loss: 0.0020\n",
      "Epoch 66/100\n",
      "27/27 [==============================] - 1s 51ms/step - loss: 0.0019 - val_loss: 0.0018\n",
      "Epoch 67/100\n",
      "27/27 [==============================] - 1s 32ms/step - loss: 0.0019 - val_loss: 0.0019\n",
      "Epoch 68/100\n",
      "27/27 [==============================] - 1s 32ms/step - loss: 0.0019 - val_loss: 0.0020\n",
      "Epoch 69/100\n",
      "27/27 [==============================] - 1s 51ms/step - loss: 0.0019 - val_loss: 0.0018\n",
      "Epoch 70/100\n",
      "27/27 [==============================] - 1s 32ms/step - loss: 0.0019 - val_loss: 0.0019\n",
      "Epoch 71/100\n",
      "27/27 [==============================] - 1s 31ms/step - loss: 0.0019 - val_loss: 0.0019\n",
      "Epoch 72/100\n",
      "27/27 [==============================] - 1s 47ms/step - loss: 0.0019 - val_loss: 0.0018\n",
      "Epoch 73/100\n",
      "27/27 [==============================] - 1s 32ms/step - loss: 0.0019 - val_loss: 0.0018\n",
      "Epoch 74/100\n",
      "27/27 [==============================] - 1s 36ms/step - loss: 0.0019 - val_loss: 0.0019\n",
      "Epoch 75/100\n",
      "27/27 [==============================] - 1s 48ms/step - loss: 0.0018 - val_loss: 0.0018\n",
      "Epoch 76/100\n",
      "27/27 [==============================] - 1s 34ms/step - loss: 0.0018 - val_loss: 0.0018\n",
      "Epoch 77/100\n",
      "27/27 [==============================] - 1s 31ms/step - loss: 0.0018 - val_loss: 0.0019\n",
      "Epoch 78/100\n",
      "27/27 [==============================] - 1s 48ms/step - loss: 0.0018 - val_loss: 0.0018\n",
      "Epoch 79/100\n",
      "27/27 [==============================] - 1s 31ms/step - loss: 0.0018 - val_loss: 0.0018\n",
      "Epoch 80/100\n",
      "27/27 [==============================] - 1s 30ms/step - loss: 0.0018 - val_loss: 0.0019\n",
      "Epoch 81/100\n",
      "27/27 [==============================] - 1s 48ms/step - loss: 0.0018 - val_loss: 0.0017\n",
      "Epoch 82/100\n",
      "27/27 [==============================] - 1s 31ms/step - loss: 0.0018 - val_loss: 0.0018\n",
      "Epoch 83/100\n",
      "27/27 [==============================] - 1s 31ms/step - loss: 0.0018 - val_loss: 0.0019\n",
      "Epoch 84/100\n",
      "27/27 [==============================] - 1s 49ms/step - loss: 0.0018 - val_loss: 0.0017\n",
      "Epoch 85/100\n",
      "27/27 [==============================] - 1s 32ms/step - loss: 0.0018 - val_loss: 0.0018\n",
      "Epoch 86/100\n",
      "27/27 [==============================] - 1s 31ms/step - loss: 0.0017 - val_loss: 0.0019\n",
      "Epoch 87/100\n",
      "27/27 [==============================] - 1s 50ms/step - loss: 0.0017 - val_loss: 0.0017\n",
      "Epoch 88/100\n",
      "27/27 [==============================] - 1s 32ms/step - loss: 0.0017 - val_loss: 0.0018\n",
      "Epoch 89/100\n",
      "27/27 [==============================] - 1s 32ms/step - loss: 0.0017 - val_loss: 0.0019\n",
      "Epoch 90/100\n",
      "27/27 [==============================] - 1s 48ms/step - loss: 0.0018 - val_loss: 0.0017\n",
      "Epoch 91/100\n",
      "27/27 [==============================] - 1s 33ms/step - loss: 0.0017 - val_loss: 0.0018\n",
      "Epoch 92/100\n",
      "27/27 [==============================] - 1s 31ms/step - loss: 0.0017 - val_loss: 0.0018\n",
      "Epoch 93/100\n",
      "27/27 [==============================] - 1s 50ms/step - loss: 0.0017 - val_loss: 0.0017\n",
      "Epoch 94/100\n",
      "27/27 [==============================] - 1s 32ms/step - loss: 0.0017 - val_loss: 0.0017\n",
      "Epoch 95/100\n",
      "27/27 [==============================] - 1s 31ms/step - loss: 0.0017 - val_loss: 0.0018\n",
      "Epoch 96/100\n",
      "27/27 [==============================] - 1s 48ms/step - loss: 0.0017 - val_loss: 0.0017\n",
      "Epoch 97/100\n",
      "27/27 [==============================] - 1s 32ms/step - loss: 0.0017 - val_loss: 0.0017\n",
      "Epoch 98/100\n",
      "27/27 [==============================] - 1s 31ms/step - loss: 0.0017 - val_loss: 0.0018\n",
      "Epoch 99/100\n",
      "27/27 [==============================] - 1s 51ms/step - loss: 0.0017 - val_loss: 0.0017\n",
      "Epoch 100/100\n",
      "27/27 [==============================] - 1s 32ms/step - loss: 0.0017 - val_loss: 0.0017\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<keras.callbacks.History at 0x7f7924317780>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.fit_generator(generate_for_kp(train_list,train_labels,64),steps_per_epoch=int(len(train_list)/64)+1,\\\n",
    "                    epochs=epoch_num,verbose=1,validation_data=generate_for_kp(val_list,val_labels,64),\\\n",
    "                    validation_steps=int(len(val_list)/64)+1,\\\n",
    "                    callbacks=[change_lr,early_stop,check_point])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "training results:\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABIEAAADjCAYAAAASRQSDAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a276b5358>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "from skimage import io\n",
    "np.random.seed(2018)\n",
    "#trainset predict step\n",
    "model.load_weights('CNN_model_final.h5')\n",
    "test_list=np.array(list(map(lambda x:'dataset/test/'+str(x),os.listdir('dataset/test/'))))\n",
    "train_index=np.arange(len(train_list))\n",
    "val_index=np.arange(len(val_list))\n",
    "test_index=np.arange(len(test_list))\n",
    "np.random.shuffle(train_index)\n",
    "np.random.shuffle(val_index)\n",
    "np.random.shuffle(test_index)\n",
    "train_index=train_index[0:5]\n",
    "val_index=val_index[0:5]\n",
    "test_index=test_index[0:5]\n",
    "train_predict=train_list[train_index]\n",
    "val_predict=val_list[val_index]\n",
    "test_predict=test_list[test_index]\n",
    "train_label_predict=train_labels[train_index]\n",
    "val_label_predict=val_labels[val_index]\n",
    "\n",
    "train_img=[]\n",
    "val_img=[]\n",
    "test_img=[]\n",
    "for t in train_predict:\n",
    "    train_img.append(io.imread(t)/255.)\n",
    "for t in val_predict:\n",
    "    val_img.append(io.imread(t)/255.)\n",
    "for t in test_predict:\n",
    "    test_img.append(io.imread(t)/255.)\n",
    "\n",
    "#draw train results\n",
    "print('training results:')\n",
    "plt.figure(figsize=(20,20)) \n",
    "for i,t in enumerate(train_img):\n",
    "    prediction=model.predict(t.reshape(1, 96, 96, 1))[0]\n",
    "    prediction=prediction*48.0+48.0\n",
    "    x_list=prediction[np.arange(0,29,2)]\n",
    "    y_list=prediction[np.arange(1,30,2)]\n",
    "    x_list_real=train_label_predict[i][np.arange(0,29,2)]\n",
    "    y_list_real=train_label_predict[i][np.arange(1,30,2)]\n",
    "    \n",
    "    plt.subplot(1,5,i+1)\n",
    "    plt.imshow(t,cmap=plt.cm.gray)\n",
    "    plt.scatter(x_list,y_list,c='r')\n",
    "    plt.scatter(x_list_real,y_list_real,c='b')\n",
    "plt.show()\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "validation results:\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABIEAAADjCAYAAAASRQSDAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a26631208>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#draw val results\n",
    "print('validation results:')\n",
    "plt.figure(figsize=(20,20)) \n",
    "for i,t in enumerate(val_img):\n",
    "    prediction=model.predict(t.reshape(1, 96, 96, 1))[0]\n",
    "    prediction=prediction*48.0+48.0\n",
    "    x_list=prediction[np.arange(0,29,2)]\n",
    "    y_list=prediction[np.arange(1,30,2)]\n",
    "    x_list_real=val_label_predict[i][np.arange(0,29,2)]\n",
    "    y_list_real=val_label_predict[i][np.arange(1,30,2)]\n",
    "    \n",
    "    plt.subplot(1,5,i+1)\n",
    "    plt.imshow(t,cmap=plt.cm.gray)\n",
    "    plt.scatter(x_list,y_list,c='r')\n",
    "    plt.scatter(x_list_real,y_list_real,c='b')\n",
    "plt.show()    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "test results:\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABIEAAADjCAYAAAASRQSDAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nk1UQqcAAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x181d1fee80>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#draw test results\n",
    "print('test results:')\n",
    "plt.figure(figsize=(20,20)) \n",
    "for i,t in enumerate(test_img):\n",
    "    prediction=model.predict(t.reshape(1, 96, 96, 1))[0]\n",
    "    prediction=prediction*48.0+48.0\n",
    "    x_list=prediction[np.arange(0,29,2)]\n",
    "    y_list=prediction[np.arange(1,30,2)]\n",
    "    \n",
    "    plt.subplot(1,5,i+1)\n",
    "    plt.imshow(t,cmap=plt.cm.gray)\n",
    "    plt.scatter(x_list,y_list,c='r')\n",
    "plt.show()    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "28/28 [==============================] - 5s 191ms/step\n",
      "(1792, 30)\n"
     ]
    }
   ],
   "source": [
    "#对test进行预测\n",
    "import matplotlib.pyplot as plt\n",
    "from skimage import io\n",
    "np.random.seed(2018)\n",
    "#trainset predict step\n",
    "model.load_weights('CNN_model_final.h5')\n",
    "test_list=np.arange(1,1784)\n",
    "test_list=list(map(lambda x:'dataset/test/'+str(x)+'.jpg',test_list))\n",
    "result=model.predict_generator(generate_for_kp_test(test_list,64),steps=int(len(test_list)/64)+1,verbose=1)\n",
    "result=result*48+48\n",
    "print(result.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
